BullionOX

@Dusk
Istnieją specyficzne wyzwania w poufnych środowiskach wykonawczych w zmieniającym się środowisku technologii blockchain. Największym problemem jest osiągnięcie wiarygodnego konsensusu wśród uczestników bez ujawniania informacji osobistych. Ryzyka związane z porozumieniem są adresowane w sieci Dusk przez projekt protokołu
. To zapewnia bezpieczny i weryfikowalny konsensus, nawet w przypadkach, gdy prywatność musi być zachowana.
Podstawą rozwiązania oferowanego przez Dusk jest jego konsensus Succinct Attestation. Jest to system dowodów oparty na stawkach, który obejmuje podejście komitetowe. Oferuje deterministyczną finalność. Po zatwierdzeniu bloku, jest on ustalany na zawsze. Szansa na reorganizacje, które mogą być widoczne dla użytkownika, jest nieistniejąca. Znacząco obniża to konflikty, które mogą się pojawić z powodu niejednoznacznego stanu transakcji w zprivatyzowanym środowisku.

The @Walrus 🦭/acc first attracted my attention when I first read about decentralized storage systems since it is a practical solution relying on the Sui blockchain. It is aimed at processing unstructured data blobs in a dependable manner, so that it can be used by network participants such as operators and developers.
In a very basic sense, Walrus relies on a distributed network to store and retrieve data. The primary components are users, storage nodes, and the Sui blockchain, and optional helpers, such as aggregators, facilitate the operations.
Clients who upload and access data are users. They begin by providing blobs, big lumps of raw information. In order to store them, the users charge the cost in Sui, which includes writes and some reads.
Storage nodes perform the heavy work. These are decentralized actors which contain fragments of information. Shards are hosted by each node, and are allocated by Sui smart contracts after fixed timeframes known as storage epochs.
The storage epoch takes approximately two weeks before becoming part of the mainnet. In this period, nodes save data shards and have to comply with regulations to maintain the system in operation. Security requires more than two-thirds of the shards to be operated by honest nodes.
Data encoding is key here. Walrus uses erasure coding to break down the blobs into smaller slivers. This technique replicates the data on several shards enabling it to be reassembled in the event of failure of a few nodes.
To illustrate, when one of the nodes becomes unavailable, the system will still be able to restore the entire blob using the rest of the shards. This is a fault tolerance that is inherent with the assumption that not a third of the shards are faulty or malicious.
Everything is coordinated within the Sui blockchain. It manages payments, monitors storage capacity, and distributes shards to the nodes. Every participant has a Sui client to observe what is happening and keep up.
When data is being stored, it starts with encoding the blob into slivers. They are forwarded to the available storage nodes. All nodes store their slivers and give a signature as evidence.
A certificate is compiled with signatures of a sufficient number of nodes. This certificate is placed in the Sui chain indicating the blob as available. The users will then be able to demonstrate that they are available to others without transferring the entire file.
Retrieval works in reverse. The slivers are requested by a user to the storage nodes. The blob can be decoded and reconstructed with sufficient slivers. This makes the data available in the long run.
Aggregators assist in retrieval. They collect slivers in the nodes and reassemble the blob, which they deliver via HTTP. This simplifies things to those users who are not interested in handling the details.
Aggregators may have caches added to them. They cache reassembled blobs on a temporary basis, which serves as a content delivery network. Reads can be verifiable by Merkle proofs.
Uploads are made easy by publishers. They grab blobs through web interfaces, encode and distribute in addition to on-chain steps. This connects the old fashioned web tools to the decentralized arrangement.
Byzantine fault tolerance is used in security. The system presumes that the majority of the nodes are correct and allows cross-epoch faults. On-chain events can be checked by the user to audit the operations.
ID is a cryptographic hash of the slivers. It is a distinct identifier used to check integrity in the process of retrieval. Merkle proofs are another layer that is used to make sure that there was no tampering.
To be a participant in the network, an individual will place a stake in $WAL . This is a decentralized proof-of-stake system, which ensures the network is secured, and those who provide quality services are rewarded.
walrusprotocol supervises the development of the protocol. It is made to be practical, such as storing media or AI data on Sui.
Walrus is reliable in infrastructure in terms of utility. The developers have the ability to create applications based on programmable storage and interface with smart contracts of Sui.
Its hybrid strategy is one of its strengths. It puts blockchain coordination together with peer-to-peer storage, eliminating bottlenecks of conventional systems.
The payments are not complicated. Sui charges a fee, which makes nodes compensated. This model of the economy is one that promotes participation and sustainability.
Data availability is a focus. After being certified on-chain, blobs can be assured to be recoverable, and this functionality is useful in applications that require long-term storage.
The docs describe setup to those who are interested in running nodes. The nodes must observe Sui and act to responses.
In general, the architecture is a compromise between efficiency and decentralization. It does not depend on any one part heavily hence strong to the network participants.
Compared to hype, Walrus provides a new approach to the concept of storage and focuses more on technical soundness. When you are working on Sui, you may want to consider using Walrus to improve the data management of your project.
$WAL #walrus

Kiedy zacząłem budować mały projekt NFT na Sui w zeszłym roku, jednym z największych problemów było niezawodne zarządzanie metadanymi. Tradycyjne rozwiązania, takie jak linki IPFS, psują się z czasem lub polegają na przypiętych węzłach, które mogą zniknąć. Protokół Walrus zmienił moje spojrzenie na to, jak metadane blockchain mogą być przechowywane i zarządzane w naprawdę zdecentralizowany i długoterminowy sposób. Traktuje metadane jako programowalne bloby na blockchainie Sui, łącząc efektywne przechowywanie z kontrolą na łańcuchu.

Walrus przechowuje metadane jako bloby dowolnych nieustrukturyzowanych danych, takich jak pliki JSON zawierające atrybuty NFT, obrazy lub opisy. Te bloby są kodowane przy użyciu RedStuff, dwuwymiarowego systemu kodowania erasure protokołu. Kodowanie dzieli metadane na fragmenty, które są rozdzielane po niezależnych węzłach pamięci. To podejście zapewnia wysoką dostępność z współczynnikiem replikacji wynoszącym około 4x do 5x, co umożliwia rekonstrukcję nawet w przypadku, gdy znaczna część węzłów przestaje działać.

Moja wstępna analiza prywatności w finansach dotyczyła
tego, że architektura modułowa była bardziej skoncentrowana na ograniczeniach, to znaczy, że dane i ryzyko były ograniczone w porównaniu do nieograniczonej zdolności. Kompozycyjność i szybkie eksperymentowanie to wspólne wartości w modularności w większości blockchainów i mogą dostarczać złożoności oraz podatności. Dusk podąża inną drogą: ograniczenie jako filozofia, w której prywatność, zgodność i bezpieczeństwo są gwarantowane nawet w miarę aktualizacji systemu. To tutaj wchodzi protokół Rusk, jako zdyscyplinowany koordynator, który ogranicza wszystko i czyni to przewidywalnym.

@Walrus 🦭/acc
Creating data driven dApps has shown me that uptime is no longer a nice to have it is the difference between a prototype and something one has to depend on. Walrus Protocol was the one that drew my interest because it addresses high availability more in the long term, specifically, it builds high availability in a manner that supports applications such as AI pipelines or live analytics that cannot withstand interruptions. Walrus is the only cloud that does not use centralized engineering unlike centralized clouds which utilize huge internal redundancy to be reliable, but instead Walrus utilizes decentralized engineering and scales across a global network of independent nodes and does not have a central choke point.
It is based on RedStuff, a two dimensional erasure coded system, which coded blobs in slivers spread across autonomous storage nodes. This can be rebuilt using a set of slivers; it can withstand a third of the number of nodes failure during normal operation and two thirds during recovery periods. The 4x to 5x replication factor helps in maintaining low costs and yet the data is available even when churning is high.
The uptime is implemented with asynchronous challenge protocols. The nodes are required to demonstrate that they hold slivers randomly without depending on the synchronized timing and avoid cheating in the variable network conditions. Unsuccessful challenges cause lessening of rewards or cuts, which encourage 24/7 availability.
The system is anchored using Sui blockchain. This is proven by Availability certificates on Sui that check the availability of blobs in storage and retrieval, giving a verifiable world view. The epoch based reconfigurations modify committees on Sui, maintaining node entries and exits in a non interrupting fashion.
This implies continuous access in case of data driven apps. Aggregators used in retrieval gather the slivers in parallel with latency limited by network delays. Aggregator caching also accelerates common queries, and so Walrus can be used with high throughput clients such as dataset streaming to data model ML models.
The uptime is supported by the staking model. Nodes use WAL to be part of a node, where fees are paid in epochs depending on their performance. Reliable node rewarding and 24/7 operational commitment penalties are offered by delegators to guarantee the reliability of the nodes and operator attendance at scale.
I believe that the technical design of Walrus, which leverages efficient code, on chain proofs, and economic commitments, is the engineering of uptime that is not merely theoretical but real in the case of large and data intensive Web3 applications, where each minute of downtime may cost actual money.
@Walrus 🦭/acc $WAL #walrus

@Plasma
Plasma is a high performance Layer 1 blockchain and its mainnet beta has been launched on September 25, 2025, and is created to be optimized to process stablecoin payments. The economic basis of the network is the native token XPL, which is meant to achieve consensus, incentivize participation and enhance sustainable growth.
The supply of has a total limit of 10 billion tokens, which has given the supply a definite maximum beyond which the supply will never exceed, and over the years it will become more predictable.
The allocation is organized such that 40% (4 billion XPL) goes to system and expansion programs. They are being invested to provide funds in case of liquidity, strategic alliances, developer grants and adoption incentives, and unlocked gradually to help long term development without overburdening the supply in the short term.
In the Proof of Stake system, the validators crypto economically invest in XPL to take part in PlasmaBFT consensus, network security, and get rewards. The inflation will start with a 5% per year rate of validator rewards and will reduce at a rate of 0.5 per year until it balances at a 3 percent long term threshold. This mechanism of tapering balances incentives at an early stage with the growth of supply under control.
Part of the transaction charges (especially on non sponsored operations like complex smart contract interactions) will serve as validator rewards, but some base fees are also burnable, which creates a deflationary offset effect as network usage grows.
The rollout of staking delegation will be in the 2026 roadmap. It will allow XPL holders to assign tokens to non node validators and receive corresponding rewards and expand the network security as participants.
XPL has various core utilities: consensus security staking, payment of gas fees when making advanced transactions (although basic USDT transfers are gasless through the protocol paymaster), and participation in governance as the network is developed.
The economic model is consistent with actual adoption. With the accumulation of volumes of stablecoins and large scale activity on Plasma, the natural growth of billions of TVL and high utilization rates of the demand of $XPL in staking and fees will be able to follow long term value generating dynamics.
The architecture is very sustainable (a constant supply level, decreasing inflation, burning fees, ecosystem oriented distribution): a balanced system of encouraging security and growth does not depend only on speculative operations.
The official documentation by Plasma has more detailed and transparent information about the token distribution, the reward mechanics, and roadmap timelines.
$XPL #Plasma

@Vanarchain
Pierwszy artykuł do przeglądu na temat blockchainów i ich zastosowania w aplikacjach wymagających natychmiastowych odpowiedzi, takich jak płatności lub decyzje oparte na AI, to Vanar Chain z powodu przemyślanych decyzji inżynieryjnych. Rozwija infrastrukturę, w której szybkość i niezawodność są ważne bez kompromisów w zakresie decentralizacji.
Vanar Chain to modułowy blockchain warstwy 1. Ta podwarstwa oferuje skalowalne przetwarzanie dużych wolumenów transakcji.
Wykorzystuje kompatybilność z EVM. Aplikacje mogą być wdrażane przez programistów za pomocą powszechnych narzędzi, takich jak Solidity.